intuitions behind Data Science

Ashay Javadekar
  • 3,9 (7)
  • MATEMÁTICA

No math, no equations, just intuitions behind Data Science.

  1. Loss Function

    13/12/2021

    Loss Function

    The intuition behind loss function

    6min
  2. Central Limit Theorem

    04/12/2021

    Central Limit Theorem

    A quick introduction to central limit theorem and why it helps data analysis

    5min
  3. Causality and Control

    03/12/2021

    Causality and Control

    Thoughts on causality and the need for a control sample

    7min
  4. Neural Networks

    01/12/2021

    Neural Networks

    Can we think of neural networks as layers of decisions with regression and classification at each layer?

    9min
  5. Types of Data Attributes

    29/11/2021

    Types of Data Attributes

    What are the different types of data attributes?

    13min
  6. Intercept

    23/11/2021

    Intercept

    Independence of the dependent variable

    7min
  7. Bias and Variance

    23/11/2021

    Bias and Variance

    Generalizing the estimations of population parameters

    6min
  8. Linear Regression

    19/11/2021

    Linear Regression

    Guessing the recipe of data!

    7min
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Sobre

No math, no equations, just intuitions behind Data Science.

Informações

  • Criado por
    Ashay Javadekar
  • Anos de atividade
    2 mil
  • Episódios
    18
  • Classificação
    Livre
  • Copyright
    © Ashay Javadekar
  • Site do podcast
    intuitions behind Data Science